Admission Requirements

Start Terms: Spring or Fall Trimester

Additional Requirements

A completed graduate program application.

It is recommended that students have a strong background in science, computer science/programming, mathematics, statistics, applied sciences or quantitative business. Applicants are evaluated on an individual basis and may be required to take needed prerequisite coursework.

Official transcript evidencing an earned Bachelor’s and/or Master’s degree.

A recommended minimum undergraduate cumulative GPA of 3.2 on a 4.0, with a recommended grade of a B or better in Calculus or equivalent course.

One letter of recommendation from a professor or an employer.

A personal statement describing why the applicant desires this data science degree. The statement should demonstrate: a. Strong writing skills; b. An expressed desire to work in the represented field; c. A strong ability to reason; and d. Commitment to completing the degree.

Resume of professional work experience

All candidates must interview with the Director of the Data Science Institute as part of the admission process.

Saint Peter’s MS programs alumni are eligible to transfer in up to a maximum of eighteen (18) credits towards the program. A maximum of twelve (12) graduate credits of equivalent course work could be transferred from other accredited universities.